Abstract
Cluster methods allow to partition observations into homogeneous groups. Standard cluster analysis approaches consider the variables used to partition observations as continuous. In this work, we deal with the particular case all variables are binary. We focused on two specific methods that can handle binary data: the monothetic analysis and the model-based co-clustering. The aim is to compare the outputs performing these two methods on a common dataset, and figure out how they differ. The dataset on which the two methods are performed is a UNESCO dataset made up of 58 binary variables concerning the ability of UNESCO management to use Internet to promote world heritage sites.
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References
Bastida, U., Huan, T.C.: Performance evaluation of tourism websites’ information quality of four global destination brands: Beijing, Hong Kong, Shanghai, and Taipei. J. Business Res. 67(2), 167–170 (2014)
Bhatia, P., Iovleff, S., Govaert, G.: blockcluster: an r package for model based co-clustering. J. Stat. Software 76(9), 1–24 (2017)
Greenwood, M.C.: A comparison of plots for monothetic clustering, with applications to microbial communities and educational test development. Electron. J. Appl. Stat. Anal. 5(1), 1–14 (2012)
Ismail, N., Masron, T., Ahmad, A.: Cultural heritage tourism in malaysia: Issues and challenges. In: SHS Web of Conferences, vol. 12, p. 01059. EDP Sciences (2014)
Kaufman, L., Rousseeuw, P.J.: Finding groups in data: an introduction to cluster analysis, vol. 344. Wiley, USA (2009)
Law, R., Qi, S., Buhalis, D.: Progress in tourism management: a review of website evaluation in tourism research. Tourism management 31(3), 297–313 (2010)
Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K.: cluster: Cluster analysis basics and extensions. R package version 1(4) (2016)
Patuelli, R., Mussoni, M., Candela, G.: The effects of world heritage sites on domestic tourism: a spatial interaction model for Italy. J. Geographical Syst. 15(3), 369–402 (2013)
Richards, G.: Production and consumption of european cultural tourism. Ann. Tourism Res. 23(2), 261–283 (1996)
World Heritage Committee: Operational guidelines for the implementation of the World heritage Convention. Unesco World Heritage Centre (2008)
Zhou, Q., DeSantis, R.: Usability issues in city tourism web site design: a content analysis. In: IPCC 2005. Proceedings. International Professional Communication Conference, 2005., 789–796. IEEE (2005)
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Contu, G., Frigau, L. (2018). Comparison of Cluster Analysis Approaches for Binary Data. In: Mola, F., Conversano, C., Vichi, M. (eds) Classification, (Big) Data Analysis and Statistical Learning. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55708-3_17
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DOI: https://doi.org/10.1007/978-3-319-55708-3_17
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